The Rise of Deep Learning: Revolutionizing AI's Potential
In the realm of artificial intelligence (AI), marked a watershed period, witnessing the meteoric rise of deep learning—a subset of machine learning techniques that utilize neural networks with many layers. This era not only redefined the boundaries of AI's capabilities but also set the stage for unprecedented advancements in image and speech recognition, among other domains. Two frameworks, TensorFlow and Torch, played pivotal roles in this transformative phase. Here, we'll delve into how deep learning reshaped AI and offer a comparative analysis of these influential frameworks. Deep Learning: A Primer Deep learning harnesses the power of artificial neural networks (ANNs) to mimic the human brain's ability to learn from and interpret complex patterns in data. Unlike traditional machine learning algorithms, deep learning structures, particularly deep neural networks (DNNs), can automatically learn features from raw data, eliminating the need for manual feature extraction. ...